Jev-Driven SRE Diagnosis: What Worked and What Failed

A Jev-driven diagnosis pipeline successfully diagnosed 80 out of 105 SRE incidents (76.2%) with a median diagnosis time of 14.6 seconds by programmatically collecting cluster evidence and using Jev to select likely root causes and supporting observations. The pipeline alternates between automated evidence collection from Kubernetes objects and logs, and Jev's focused decision-making to narrow down problem sources, eliminating the need for an LLM agent in the diagnosis process.